Richard Colling
Impact in
- Health Informatics top 1%
- Artificial Intelligence in Healthcare and Education
-
- Radiomics and Machine Learning in Medical Imaging
Papers in
-
- AI in cancer detection 17
- Oncology 12
- Colorectal Cancer Screening and Detection 6
- Co-authors
- Clare Verrill (25 shared papers)Lai Mun Wang (9 shared papers)Lisa Browning (15 shared papers)Elizabeth J. Soilleux (6 shared papers)David Snead (3 shared papers)Nasir Rajpoot (2 shared papers)Jens Rittscher (9 shared papers)Philip S. Macklin (4 shared papers)
- Journals
- Journal of Clinical Pathology (13 papers)Histopathology (6 papers)Cancers (2 papers)The Journal of Pathology Clinical Research (2 papers)Magnetic Resonance in Medicine (1 paper)
- Partner nations
- United KingdomCanadaUnited States
In The Last Decade
Richard Colling
48 papers receiving 803 citations
Peers
Comparison fields: 5 of 93
- Health Informatics 84
- Radiology, Nuclear Medicine and Imaging 219
- Biophysics 59
- Artificial Intelligence 298
- Oncology 193
Countries citing papers authored by Richard Colling
This map shows the geographic impact of Richard Colling's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Richard Colling with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Richard Colling more than expected).
Fields of papers citing papers by Richard Colling
This network shows the impact of papers produced by Richard Colling. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Richard Colling. The network helps show where Richard Colling may publish in the future.
Co-authors
The 25 scholars most cited alongside Richard Colling, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 156 | |
| 2 | 2018 | 53 | |
| 3 | 2020 | 51 | |
| 4 | 2022 | 45 | |
| 5 | 2024 | 40 | |
| 6 | 2015 | 33 | |
| 7 | 2020 | 33 | |
| 8 | 2020 | 26 | |
| 9 | 2021 | 24 | |
| 10 | 2020 | 24 | |
| 11 | 2015 | 23 | |
| 12 | 2021 | 22 | |
| 13 | 2017 | 22 | |
| 14 | 2018 | 22 | |
| 15 | 2014 | 20 | |
| 16 | 2021 | 20 | |
| 17 | 2017 | 18 | |
| 18 | 2015 | 17 | |
| 19 | 2019 | 16 | |
| 20 | 2014 | 14 |
About Richard Colling
Richard Colling is a scholar working on Artificial Intelligence, Oncology, Radiology, Nuclear Medicine and Imaging, Molecular Biology and Pathology and Forensic Medicine, having authored 49 papers that have together received 822 indexed citations. Recurring topics across this work include AI in cancer detection (17 papers), Radiomics and Machine Learning in Medical Imaging (8 papers), Colorectal Cancer Screening and Detection (6 papers), Cancer Genomics and Diagnostics (4 papers), Prostate Cancer Diagnosis and Treatment (4 papers), Genetic factors in colorectal cancer (4 papers), Artificial Intelligence in Healthcare and Education (3 papers) and Chronic Lymphocytic Leukemia Research (3 papers). The work is most often cited by research in Health Informatics (84 citations), Radiology, Nuclear Medicine and Imaging (219 citations), Biophysics (59 citations), Artificial Intelligence (298 citations) and Oncology (193 citations). Richard Colling has collaborated with scholars based in United Kingdom, Canada and United States. Frequent co-authors include Clare Verrill, Lai Mun Wang, Lisa Browning, Elizabeth J. Soilleux, David Snead, Nasir Rajpoot, Jens Rittscher, Philip S. Macklin, Karin A. Oien and Runjan Chetty. Their work appears in journals such as Journal of Clinical Pathology, Histopathology, Cancers, The Journal of Pathology Clinical Research and Magnetic Resonance in Medicine.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.